Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 11 May 2018 doi:10.20944/preprints201805.0178.v1 Peer-reviewed version available at Soft Computing 2019; doi:10.1007/s00500-019-04278-8 Article Graph Coloring: A Novel Heuristic based on Trailing Path; Properties, Perspective and Applications in Structured Networks 1$ 2$* 3 Abhirup Bandyopadhyay , Sankar Basu , Amit kumar Dhar 1 Department of Mathematics, National Institute of Technology, Durgapur Mahatma Gandhi Avenue, Durgapur 713209, West Bengal, India 2 Department of Physics and Astronomy, Clemson University, South Carolina, US 3 Department of IT, IIT Alahabad, Jhalwa, Alahabad 211012 Emails: AB:
[email protected] SB:
[email protected],
[email protected] AKD:
[email protected] $ These authors contributed equally to the work * Correspondence:
[email protected]; Tel: +1-864-633-8394 Academic Editor: name Received: date; Accepted: date; Published: date Abstract: Graph coloring is a manifestation of graph partitioning, wherein, a graph is partitioned based on the adjacency of its elements. Partitioning serves potentially as a compartmentalization for any structural problem. Vertex coloring is the heart of the problem which is to find the chromatic number of a graph. The fact that there is no general efficient solution to this problem that may work unequivocally for all graphs opens up the realistic scope for combinatorial optimization algorithms to be invoked. The algorithmic complexity of graph coloring is non-deterministic in polynomial time (NP) and hard. To the best of our knowledge, there is no algorithm as yet that procures an exact solution of the chromatic number comprehensively for any and all graphs within the polynomial (P) time domain.